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Looman, Menno (author)Traditionally, Event-Triggered Control (ETC) methods are sample-and-hold control schemes that implement a triggering condition in order to reduce the number of control updates. Given a decay rate of the Lyapunov function, they focus on minimizing the (average) Inter-Sample Time (IST). In this thesis, we focused on the scheduling of Periodic...master thesis 2023
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de Gooijer, Jessica (author)Reinforcement learning, especially deep reinforcement learning, has made many advances in the last decade. Similarly, great strides have been made in multi-agent reinforcement learning. Systems of cooperative autonomous robots are increasingly being used, for which multi-agent reinforcement learning can be used as a training method. However, the...master thesis 2023
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Kumaran, Koushik (author)Loop Robots develops and operates the next generation of fully autonomous disinfection robots in hospitals and healthcare settings. Accurate localization is essential in order to navigate reliably and effectively disinfect the tight hallways and corners of a patient room, operating room, or intensive care unit in a hospital. Odometry, or dead...master thesis 2023
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Ganchev, Ivaylo (author)Water scarcity is a persistent global issue that requires effective solutions. One increasingly popular approach to address the distribution of freshwater in different regions is the utilization of Water Irrigation Systems (WIS). Due to their vital role in ensuring people's well-being, it is crucial to design a reliable infrastructure that can...master thesis 2023
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Li, Yiting (author)Localization is one of the most fundamental competencies required by an autonomous robot, providing crucial information about its position for decision-making in indoor environments. In the current literature, an indoor localization system utilizes exteroceptive sensors such as GNSS(Global Navigation Satellite System), a camera, or an ultrasonic...master thesis 2023
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Zwetsloot, Eva (author)In multi-agent systems reaching consensus has been a long-standing problem. A considerable amount of research has been focused on how event-triggered consensus can be used to limit the energy consumption of the communication system while still ensuring convergence to the neighbourhood of a point or a formation. These algorithms rely on having...master thesis 2023
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Breysens, G. (author)This thesis investigates the potential of state-dependent sampling strategies (SDSS) for the control of heavy-haul trains. Event-triggered control (ETC) is a control approach in which data is only sent when some state-dependent condition, the triggering condition, is satisfied. In this way, the number of communications required to stabilise a...master thesis 2023
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Smit, Henk (author)Event-Triggered Control (ETC) is a control method where the controller is only updated when necessary. The control inputs are kept fixed until a state-dependent event triggers their re-computation. The triggering condition is designed to guarantee the stability and desired performance of the control system. This prevents the excessive use of...master thesis 2023
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van der Lely, Lars (author)Over nine billion people will have to be fed fresh and healthy food in 2050 according to United Nations. This puts pressure on the horticulture sector, responsible for a large portion of the world’s food production. The literature has shown that automatic optimal control algorithms are able to make better use of resources and can even outperform...master thesis 2022
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Römer, Stijn (author)Recent developments in \ac{ML} have paved the way for unprecedented possibilities in the field of data analytics in numerous team sports, such as American football, baseball, and basketball. In more recent years, \ac{ML} techniques have been applied to football as professional teams got inspired to collect enormous quantities of data to evaluate...master thesis 2022
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de Ruijter, Robbert (author)Control engineering researchers are increasingly embracing data-driven techniques like reinforcement learning for control and optimisation. An example of a case where reinforcement learning could be useful is the synthesis of near-optimal sampling strategies for self-triggered control. Self-triggered control is an aperiodic control method that...master thesis 2022
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Kerssemakers, Tom (author)With over 75,000 attributed deaths in 2020, opioid overdose is now the leading cause of death amongst Americans under the age of 50. With record-breaking increases in fatalities for the past 10 years, fentanyl in particular has many experts worried about the future of the opioid epidemic. To reverse opioid overdose there exists a drug called...master thesis 2022
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Sweering, Tim (author)In this thesis we investigate the possibilities for applying Koopman methods for reachability analysis. Reachability analysis is a verification process used to determine that a dynamical system starting in an initial set X0 cannot reach a certain set of dangerous states D within a time interval [0,T]. Koopman methods seem promising, because they...master thesis 2021
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van der Zijden, Tycho van der Zijden (author)In networked control systems (NCS), the components of the control system communicate over a network, which poses challenges to the control synthesis procedure. Signal sampling is one of those challenges. A typical approach is to sample the signal periodically, but this can be inefficient. Event-triggered control (ETC) is a more efficient way to...student report 2021
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van Straalen, Ivo (author)In recent years, Networked Control Systems (NCS) have become more popular, partly because of the increasing accessibility. In NCS, multiple plants and controllers are connected over a wired or wireless shared network, possibly having significant spatial separation. A major issue that arises is network congestion: If too many control loops are...master thesis 2021
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Crompvoets, JPA (author)Over the past decade, a new concept for the power grid called the smart grid emerged, to enable two way energy transport and communication. With this new smart grid architecture many opportunities for control methods arise. While this can improve the efficiency of the power grid, all these methods require communication, which is a limited...master thesis 2021
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van Wilsum, Max (author)Based on sparsity maximization we propose a controller for Multiple Daily Injections (MDI)therapy for Type 1 Diabetes melitus (T1DM) individuals. Based on convex relaxations onthe sparsity maximization problems and by implementing personalised linear models of pa-tient we formulate a model predictive controller to determine insulin boluses. By...master thesis 2021
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Lanka, Indeevar Shyam (author)Vehicles are becoming increasingly complex and the resource-demanding due to the developments aimed at driving autonomy. Viewing an automobile as a cyber-physical system (CPS), this work applies the advances of controls applied to CPS for improving resource-consumption. One such idea is that of event-based control. Theoretical developments in...master thesis 2021
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Klein Schiphorst, Jonathan (author)Stability, safety and optimality are often sought-after properties in the field of controller synthesis. In the last century, linear control theory has matured to a level where scalable algorithms are widely available that are able to synthesize controllers with stability and optimality guarantee. However, the synthesis of safe controllers...master thesis 2021
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Samant, Aniket Ashwin (author)Modern times have seen an increasing use of networked control systems, in which plants and controllers may not necessarily have a direct link but instead be connected through a network, thereby closing control loops over multiple nodes.<br/><br/>The system may also be spread out spatially over a large area, and thus the associated network delays...master thesis 2020